Answer Happy

1. Briefly explain these following tasks of
heteroskedasticity:
(1.1) the meaning of
heteroskedasticity;
(1.2) how to detect
heteroskedasticity;
(1.3) heteroskedasticity consequences for the OLS
Estimation
2. Explain the characteristic of an ARDL and its
application
3. What are autocorrelation and Durbin-Watson
test? And how are they related? 6. [2 points] Explain the concept
of cointegration and show how to perform the test for
cointegration.
4. Explain why we need unit root test for
stationary and the meaning of a spurious
regression.